(64 additional "shards" in HTTP GET method parameters? Are you kidding?!!)

Explanations? Very easy: FieldCache needs array of String objects, and size of array should be 10,000,000,000. Imagine ISBN field (or similar nontokenized): 100 bytes... and multiply to get size of array for one single field only:10 billions x 100 bytes = 1000 Gb

...After several years of trusting to genious cNET developers I hacked SOLR, see SOLR-665. Unfortunately some of Apache Committers tried to point me on some books... and kindly asked me to learn Java... But they simply don't understand differences between concurrency strategies, and they can't even see that ConcurrentHashMap uses spin-loop in order to avoid synchronization instead of giving up CPU a.s.a.p...

What about Facets? See this: SOLR Faceted Browsing. It was initially designed for CNET, and at that time CNET data contained only 400,000 products. "Faceting" means "Sets Intersections" for SOLR, but not for me. There is a lot of code which could be easily optimized. But... Apache! Not everything open-source is good enough. For instance, I am using specific 'hack' for Lucene where index files are read-only, and I fully avoid synchronization bottlenecks.

P.S.I am going to move to HBase from MySQL. Currently, I have 4Gb for transaction logs with InnoDB. I can't use any statistics and do very simple calcs (such as auto-defining category pages and product pages, auto-categorize products, etc.)

It's extremely simple... but MySQL can't do it! InnoDB is best by performance (concurrent updates).

HBase is clone of Google Big Table, powered by Hadoop (clone of Google File System and Map Reduce).

Just spotted your blog.....we work with Xapian/Flax, which would probably scale better than Lucene for your requirement. We have a test cluster with 100m documents, and Xapian was built for a half-billion page collection. Check out www.mydeco.com for an implementation.

NUTCH, Hadoop, HBASE scale to thousands!!! Yahoo, AOL, and others use NUTCH in a clusters of several thousands computers.NUTCH is powered by Hadoop which is clone of Google File System, NUTCH uses distributed search powered by Lucene.I've never heard aout Xapian/Flax... Who uses it?

Mobile in india, as the name itself tells, explain/educates/gives every useful and important information about mobile. All models of all companies are explained with their pro & cons, you name it and you have it on http://mobileinindia.in Simple and elobrative language explain every mobile in short. surely help to male decision as we indian are fond of music and photography, mobile with these features are highlighted. and when we say range its more vast as himalayan range ie from basic price to the costlier mobile in India.We also showers our visitors with interesting fact about mobile in india and some some mouth watering information regarding which celebrity uses which set. Durability, battery back up, after sale service, resale are few topics which mobile in India has covered. Mobile in India also bring you news about new technology& fresh launch at swift speed.